Syracuse Tax Parcels
About
This dataset represents approximately 42,000 tax parcels for the city of Syracuse, NY. The dataset is available in the DataCuse open data portal: http://data.syrgov.net/datasets/parcel-data-august-2017
Syracuse Parcels
Downtown Syracuse
Data Dictionary
This data set contains the following variables:
| VARIABLE | DESCRIPTION |
|---|---|
| tax_id | unique parcel ID (numeric) |
| neighborhood | city neighborhood for tax parcel (character) |
| stnum | parcel address (numeric) |
| stname | parcel address (character) |
| zip | parcel address (numeric) |
| owner | property owner (character) |
| frontfeet | length of the front of the lot (numeric) |
| depth | depth of the lot (numeric) |
| sqft | size of the parcel in square feet (numeric) |
| acres | size of the parcel in acres (numeric) |
| yearbuilt | year of construction for the building on the parcel (numeric) |
| age | age of the building (numeric) |
| age_range | age of the building by decade (factor) |
| land_use | zoning purpose of the parcel (factor) |
| units | number of units in multi-unit buildings (numeric) |
| residential | is the parcel zoned for residential (T/F) |
| rental | is the residential space zoned for rental (T/F) |
| vacantbuil | is the building vacant (T/F) |
| assessedla | assessed value of the parcel land (numeric) |
| assessedva | assessed value of the parcel land plus buildings (numeric) |
| tax.exempt | is the parcel tax exempt (T/F) |
| countytxbl | value of parcel for tax purposes (numeric) |
| schooltxbl | value of parcel for tax purposes (numeric) |
| citytaxabl | value of parcel for tax purposes (numeric) |
| star | does the parcel qualify for a residential tax break (T/F) |
| amtdelinqu | amount of tax bill that is delinquint (numeric) |
| taxyrsdeli | length of time tax bill is delinquint (numeric) |
| totint | total interest owed for delinquint taxes (numeric) |
| overduewater | total owed on overdue water bills (numeric) |
Load Dataset
We are using a number of variables from the 2015 extract of tax parcels saved as a CSV file on GitHub for easy loading:
URL <- "https://raw.githubusercontent.com/DS4PS/Data-Science-Class/master/DATA/syr_parcels.csv"
dat <- read.csv( URL, stringsAsFactors=FALSE )
head( dat ) %>% pander| tax_id | neighborhood | stnum | stname | zip |
|---|---|---|---|---|
| 1.393e+09 | South Valley | 2655 | VALLEY DR | 13215 |
| 1.393e+09 | South Valley | 2635 | VALLEY DR | 13120 |
| 1.437e+09 | South Valley | 203 | HAYES TERR | 13224 |
| 1.425e+09 | South Valley | 100 | EDNA RD & CITY LINE | 13120 |
| 1.425e+09 | South Valley | 104 | EDNA RD | 13205 |
| 1.425e+09 | South Valley | 108 | EDNA RD | 13205 |
| owner | frontfeet | depth | sqft | acres | yearbuilt |
|---|---|---|---|---|---|
| CLARMIN BUILDERS ONON COR | 67.2 | 50 | 2149 | 0.04934 | NA |
| JOHNSTON LEE R | 104.8 | 46.5 | 6370 | 0.1462 | 1925 |
| CHRISTO CRAIG S | 82.87 | 168.3 | 12910 | 0.2964 | 1957 |
| HAWKINS FARMS INC | 65 | 160.9 | 10323 | 0.237 | 1958 |
| PETERS LYNNETTE | 65 | 160.9 | 10458 | 0.2401 | 1965 |
| MITCHELL LOTAN G | 65 | 160.9 | 10458 | 0.2401 | 1954 |
| age | age_range | land_use | units | residential | rental | vacantbuil |
|---|---|---|---|---|---|---|
| NA | NA | Vacant Land | 0 | FALSE | FALSE | FALSE |
| 90 | 81-90 | Single Family | 0 | TRUE | FALSE | FALSE |
| 58 | 51-60 | Single Family | 0 | TRUE | FALSE | FALSE |
| 57 | 51-60 | Single Family | 0 | TRUE | FALSE | FALSE |
| 50 | 41-50 | Single Family | 0 | TRUE | FALSE | FALSE |
| 61 | 61-70 | Single Family | 0 | TRUE | FALSE | FALSE |
| assessedla | assessedva | tax.exempt | countytxbl | schooltxbl | citytaxabl |
|---|---|---|---|---|---|
| 475 | 500 | TRUE | 500 | 500 | 500 |
| 10800 | 69300 | FALSE | 69300 | 69300 | 69300 |
| 20200 | 88300 | FALSE | 88300 | 88300 | 88300 |
| 18000 | 70500 | FALSE | 70500 | 70500 | 70500 |
| 18000 | 74000 | FALSE | 74000 | 74000 | 74000 |
| 18000 | 95000 | FALSE | 95000 | 95000 | 95000 |
| star | amtdelinqu | taxyrsdeli | totint | overduewater |
|---|---|---|---|---|
| NA | 0 | 0 | 0 | 0 |
| TRUE | 0 | 0 | 0 | 177.8 |
| TRUE | 0 | 0 | 0 | 0 |
| NA | 0 | 0 | 0 | 0 |
| TRUE | 0 | 0 | 0 | 0 |
| TRUE | 0 | 0 | 0 | 0 |
Parcel Shapefiles
The shapefile has been converted to a geojson format, and is available on GitHub:
library( geojsonio )
library( sp )
library( rgdal )
syr <- geojson_read( "syr_parcels.geojson", method="local", what="sp" )
plot( syr, border=NA, col="gray80" )Neighborhoods
Land Use
